Optimal scheduling of measurement-based parallel real-time tasks
Document Type
Article
Publication Date
7-1-2020
Abstract
In this work we consider a measurement-based model for parallel real-time tasks represented by the work and span parameters of directed acyclic graphs, with different bounds for nominal and overload scenarios. We address the corresponding real-time scheduling problem and propose an optimal scheduling strategy with a derived tight bound on the maximum response time of a task.
Identifier
85082942060 (Scopus)
Publication Title
Real Time Systems
External Full Text Location
https://doi.org/10.1007/s11241-020-09346-z
e-ISSN
15731383
ISSN
09226443
First Page
247
Last Page
253
Issue
3
Volume
56
Grant
1733873
Fund Ref
Uppsala Universitet
Recommended Citation
Agrawal, Kunal; Baruah, Sanjoy; Ekberg, Pontus; and Li, Jing, "Optimal scheduling of measurement-based parallel real-time tasks" (2020). Faculty Publications. 5177.
https://digitalcommons.njit.edu/fac_pubs/5177
